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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
international university, with more than half of our almost 21,000 students coming from outside of the province. Our 6,000 faculty and staff foster a vibrant, purpose-driven community, that celebrated 200 years
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experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus
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contribute to academic-industrial collaborative projects. The successful candidate will play a pivotal role in advancing translational research programs that bridge fundamental science with industry-driven
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prohibitive computational cost. Conversely, simpler models such as the Log- Distance Model provide greater computational efficiency at the expense of accuracy [6]. - Data-driven approaches, which leverage
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internal consulting services to our dynamic, mission-driven institution. The Senior Consultant provides expert project management services for internal projects, especially large technology system
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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number variations, are major risk factors for adverse mental health outcomes. Beyond their clinical importance, they provide powerful human models for uncovering multiscale genetic mechanisms in psychiatry
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. Automated data-driven selection procedures will enable to gain objectivity and capacity to handle large amount of data from a wide range of epidemics. The first challenge consist in refining previous models